Triple

T14490592
Position Surface form Disambiguated ID Type / Status
Subject Maruf E359350 entity
Predicate namedAfter P63 FINISHED
Object local toponym "Maruf" E359350 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: local toponym "Maruf" | Statement: [Maruf, namedAfter, local toponym "Maruf"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: local toponym "Maruf"
Context triple: [Maruf, namedAfter, local toponym "Maruf"]
  • A. Marafiq
    Marafiq is a major utility company in Saudi Arabia that provides power and water services to industrial cities such as Jubail.
  • B. Maruf chosen
    Maruf is a town in present-day Afghanistan historically notable as the place where Ahmad Shah Durrani, founder of the Durrani Empire, died.
  • C. Mafdal
    Mafdal, also known as the National Religious Party, was a prominent Israeli political party that represented the religious Zionist community and often played a key role in coalition governments.
  • D. Mubaira
    Mubaira is a small town located in the Mashonaland West Province of northern Zimbabwe.
  • E. Rafha
    Rafha is a town in northern Saudi Arabia near the Iraqi border, known historically as a stop along regional trade and pilgrimage routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930d820481908b9813014dd02540 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9334708190baa2f8094df3c09e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.